Curriculum Vitae

Jackson Eshbaugh — Computer Science & French, Lafayette College ’27

eshbaugj@lafayette.edu · jacksoneshbaugh.github.io · ORCID

Education

Lafayette College
B.S. Computer Science (expected 2027); A.B. French (expected 2027). GPA: 4.0/4.0.

Research & Teaching Positions

EXCEL Scholar
Lafayette College — Jun 2025–Present
  • Interpretable ML & energy equity; with Prof. Jorge Silveyra.
  • Urban energy data; synthetic homes; retrofit recommendations.
Teaching Assistant
CS Dept. — F24, S25, F25
  • Led review sessions, practice sets, and debugging labs.
  • Teaching page with materials.

Publications & Preprints

  1. Eshbaugh, J., Tiwari, C., Silveyra, J.. “A Modular and Multimodal Generative AI Framework for Urban Building Energy Data: Generating Synthetic Homes.” Submitted to Energy & Buildings 2025. arXiv · DOI
  2. Eshbaugh, J.. “Fidelity Isn’t Accuracy: When Linearly Decodable Functions Fail to Match the Ground Truth.” 2025. arXiv · DOI

Talks & Posters

  1. “Generating Synthetic Homes: A Modular and Multimodal Generative AI Framework for Urban Building Energy Data.” Poster, Lafayette College Bicentennial Weekend Poster Session, Easton, PA. Sep 2025. Related: A Modular and Multimodal Generative AI Framework for Urban Building Energy Data: Generating Synthetic Homes.

Honors & Awards

Skills

Languages: Python, Java, JavaScript, C · ML: PyTorch, TensorFlow, scikit-learn · Tools: Git, VS Code, JetBrains, LaTeX

Service